Return VectorStore initialized from texts and embeddings.
from_texts(
cls,
texts: List[str],
embedding: Embeddings,
metadatas: Optional[List[dict]] = None,
collection_name: str = '',
vector_size: int = 0,
api_key: str = '',
distance_strategy: DistanceStrategy = DistanceStrategy.EUCLIDEAN_DISTANCE,
**kwargs: Any = {}
) -> SemaDB